FastMAPOL_ACEPOL_AIRHARP_L2

The datasets contain the retrieved aerosol and ocean color properties from AirHARP measurements using the FastMAPOL algorithm. Three scenes (5Mb each) are included in the zip file: FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023201049_V1.1.nc
FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023213049_V1.1.nc FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023204956_V1.1.nc

Details of the retrieval algorithm are discussed in the following work:

Gao, M., Franz, B. A., Knobelspiesse, K., Zhai, P.-W., Martins, V., Burton, S., Cairns, B., Ferrare, R., Gales, J., Hasekamp, O., Hu, Y., Ibrahim, A., McBride, B., Puthukkudy, A., Werdell, P. J., and Xu, X.: Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14, 4083–4110, https://doi.org/10.5194/amt-14-4083-2021, 2021.

Algorithm highlights:

  • The algorithm conducts simultaneous aerosol and ocean color retrievals using multi-angle polarimetric measurements.
  • Remote sensing reflectance is derived through atmospheric correction using the retrieved aerosol properties.
  • Neural networks are used to speed up the forward model and various processing steps.

Data and Resources

Additional Info

Field Value
Maintainer Meng Gao
Last Updated May 29, 2025, 20:34 (UTC)
Created March 31, 2025, 15:16 (UTC)
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation Gao, M., Franz, B. A., Knobelspiesse, K., Zhai, P.-W., Martins, V., Burton, S., Cairns, B., Ferrare, R., Gales, J., Hasekamp, O., Hu, Y., Ibrahim, A., McBride, B., Puthukkudy, A., Werdell, P. J., and Xu, X.: Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14, 4083–4110, https://doi.org/10.5194/amt-14-4083-2021, 2021.
harvest_object_id 009d3655-2018-4bb1-85bc-5e695f6a6f8e
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier https://data.nasa.gov/api/views/8b9y-7rgh
issued 2021-03-31
landingPage https://science.gsfc.nasa.gov/sed/bio/meng.gao
license https://www.usa.gov/government-works
modified 2023-01-31
programCode {026:001}
publisher NASA
resource-type Dataset
source_datajson_identifier true
source_hash 8277b83d08c534fa32064b920f9e42f0b8ea63e55f63c8fb362df63d111b5aed
source_schema_version 1.1
theme {"Earth Science"}